A list of job applications filed for a particular day and associated data. Prior weekly and monthly reports are archived at DOB and are not available on NYC Open Data.

In New York City, one of the United States’ most iconic destinations, Airbnb has established itself as a key player in the accommodation market. In 2025, Airbnb customers booked an average of 47 nights per stay, with an average price of 119 U.S. dollars per night. Meanwhile, the average income per property was 7,062 U.S. dollars that year. Are Airbnb rentals expensive in New York City? As of early 2024, the most expensive Airbnb properties per night in the United States were in San Francisco. This was followed by Los Angeles and San Diego. In comparison, the average cost of a night’s stay at an Airbnb property in New York City is less than half of the cost of a night in San Francisco. How many Airbnb properties are there in New York City? In early 2024, the Airbnb market in New York City offered more than 39.7 thousand properties accommodating to the different needs of visitors to the city. There are a variety of types of Airbnb properties in New York City, the most common of which were entire homes and apartments, followed by private rooms. The majority of Airbnb listings also catered to longer-term stays, in light of city regulations on housing.

The New York City Housing and Vacancy Survey (NYCHVS) is a citywide survey designed to be representative of the NYC housing stock and community-dwelling population that is conducted about every three years by the City of New York. The NYCHVS has been conducted since 1965 and is the longest running housing survey in the country. The survey is mandated by New York State and New York City laws to measure the net rental vacancy rate and describe the supply, condition, and continued need for rent control and rent stabilization which covers half of the city's rental housing, or about 1 million apartments and 2.5 million tenants. Detailed data from the survey cover many characteristics of the New York City housing market, including characteristics of the City's population, household, housing stock, and neighborhoods. Other data include, but is not limited to, rent regulatory and home ownership status; structural conditions; unit maintenance and neighborhood conditions; crowding, rents, utility costs, type of heating fuel, rent/income ratios; owner purchase price and estimated value, mortgage status and interest rate; number of stories and units in building, cooperative/condominium status, and wheelchair accessibility. The data in this collection are organized by occupied units, vacant units, non-interviews, individual person records, and all housing units. Person records for each individual in occupied housing units regardless of age were added beginning in 1991. Non-interview units data are available for 1978 to 2008. Starting in 2021, datasets for all housing units were added.

The Department of Finance (DOF) is required by NY State law to value condominiums or cooperatives as if they were residential rental apartment buildings. DOF uses income information from rental properties similar in physical features and location to the condominiums or cooperatives. DOF applies this income data to the condominium or cooperative to determine its value in the same way DOF values rental apartment buildings. This report includes information at a condominium suffix level which represents a subdivision of the condominium since DOF values condominiums at a suffix level. A condominium may have more than one suffix. This data set contains the reports from 2012-2018.

This datasets contains information about NYCHA residents’ use of:

a) NYC Financial Empowerment Centers: a program that provides free, one-on-one professional financial counseling and coaching to all NYC residents. Each row in the dataset represents the number of NYCHA residents on a Borough-level who utilized this service;

b) EmpoweredNYC: is an initiative to assist New Yorkers with disabilities and their families to better manage their finances and become more financially stable. Each row in the dataset represents the number of NYCHA residents on a Borough-level who utilized this service;

c) Student Loan Debt clinic: is an initiative to help New Yorkers understand their student loans and how to repay them. Each row in the dataset represents the number of NYCHA residents on a Borough-level who utilized this service; and

d) Ready to Rent: a program providing free one-on-one financial counseling to New Yorkers seeking to apply for affordable housing units through HPD’s Housing Connect lottery. Each row in the dataset represents the number of NYCHA residents on a Borough-level who utilized this service.

The dataset is part of the annual report compiled by the Mayor’s Office of Operations as mandated by the Local Law 163 of 2016 on different services provided to NYCHA residents. See other datasets in this report by searching the keyword “Services available to NYCHA Residents - Local Law 163 (2016)” on the Open Data Portal.

Pursuant to New York City’s Housing Maintenance Code, the Department of Housing Preservation and Development (HPD) issues violations against conditions in rental dwelling units that have been verified to violate the New York City Housing Maintenance Code (HMC) or the New York State Multiple Dwelling Law (MDL). Violations are issued when an inspection verifies that a violation of the HMC or MDL exists. It is closed when the violation is corrected, as observed/verified by HPD or as certified by the landlord.

The Department of Housing Preservation and Development (HPD) records complaints that are made by the public for conditions which violate the New York City Housing Maintenance Code (HMC) or the New York State Multiple Dwelling Law (MDL).

NYS Building Footprints - metadata info:The New York State building footprints service contains building footprints with address information. The footprints have address point information folded in from the Streets and Address Matching (SAM - https://gis.ny.gov/streets/) address point file. The building footprints have a field called “Address Range”, this field shows (where available) either a single address or an address range, depending on the address points that fall within the footprint. Ex: 3860 Atlantic Avenue or Ex: 32 - 34 Wheatfield Circle Building footprints in New York State are from four different sources: Microsoft, Open Data, New York State Energy Research and Development Authority (NYSERDA), and Geospatial Services. The majority of the footprints are from NYSERDA, except in NYC where the primary source was Open Data. Microsoft footprints were added where the other 2 sources were missing polygons. Field Descriptions: NYSGeo Source : tells the end user if the source is NYSERDA, Microsoft, NYC Open Data, and could expand from here in the futureAddress Point Count: the number of address points that fall within that building footprintAddress Range : If an address point falls within a footprint it lists the range of those address points. Ex: if a building is on a corner of South Pearl and Beaver Street, 40 points fall on the building, and 35 are South Pearl Street it would give the range of addresses for South Pearl. We also removed sub addresses from this range, primarily apartment related. For example, in above example, it would not list 30 South Pearl, Apartment 5A, it would list 30 South Pearl.Most Common Street : the street name of the largest number of address points. In the above example, it would list “South Pearl” as the most common street since the majority of address points list it as the street. Other Streets: the list of other streets that fall within the building footprint, if any. In the above example, “Beaver Street” would be listed since address points for Beaver Street fall on the footprint but are not in the majority.County Name : County name populated from CIESINs. If not populated from CIESINs, identified by the GSMunicipality Name : Municipality name populated from CIESINs. If not populated from CIESINs, identified by the GSSource: Source where the data came from. If NYSGeo Source = NYSERDA, the data would typically list orthoimagery, LIDAR, county data, etc.Source ID: if NYSGeo Source = NYSERDA, Source ID would typically list an orthoimage or LIDAR tileSource Date: Date the footprint was created. If the source image was from 2016 orthoimagery, 2016 would be the Source Date. Description of each footprint source:NYSERDA Building footprints that were created as part of the New York State Flood Impact Decision Support Systems https://fidss.ciesin.columbia.edu/home Footprints vary in age from county to county.Microsoft Building Footprints released 6/28/2018 - vintage unknown/varies. More info on this dataset can be found at https://blogs.bing.com/maps/2018-06/microsoft-releases-125-million-building-footprints-in-the-us-as-open-data.NYC Open Data - Building Footprints of New York City as a polygon feature class. Last updated 7/30/2018, downloaded on 8/6/2018. Feature Class of footprint outlines of buildings in New York City. Please see the following link for additional documentation- https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_BuildingFootprints.mdSpatial Reference of Source Data: UTM Zone 18, meters, NAD 83. Spatial Reference of Web Service: Spatial Reference of Web Service: WGS 1984 Web Mercator Auxiliary Sphere.

This dataset lists pending, scheduled and executed evictions within the five boroughs, for the year 2017 - Present. The data fields may be sorted by Court Index Number, Docket Number, Eviction Address, Apartment Number, Executed Date, Marshal First Name, Marshal Last Name, Residential or Commercial (property type), Borough, Zip Code and Scheduled Status (Pending/Scheduled). Eviction data is compiled from the majority of New York City Marshals. Marshals are independent public officials and should be contacted directly for more information at https://www1.nyc.gov/site/doi/offices/marshals-list.page Data prior to January 1 2017 is not currently available.

Graph and download economic data for All-Transactions House Price Index for New York (NYSTHPI) from Q1 1975 to Q4 2024 about appraisers, NY, HPI, housing, price index, indexes, price, and USA.

Graph and download economic data for Housing Inventory: Median Listing Price in New York (MEDLISPRINY) from Jul 2016 to Feb 2025 about NY, listing, median, price, and USA.

This dataset provides J-51 benefit data earlier than tax year 2019 and is not updated. To view J-51 benefit data for newer tax years, visit the Property Exemption Detail dataset and the Property Abatement Detail dataset. J-51 is a property tax exemption and abatement for renovating a residential apartment building. The benefit varies depending on the building's location and the type of improvements. The NYC Department of Housing Preservation and Development (HPD) determines eligibility for this program. The NYC Department of Finance (DOF) administers the benefit.

Contains information about work orders created to conduct emergency repair work when an owner fails to address a hazardous condition pursuant to the requirements of an HPD issued violation. HPD issues violations when an owner fails to address a condition pursuant New York City Housing Maintenance Code (HMC) or the New York State Multiple Dwelling Law (MDL), a Department of Buildings Declaration of Emergency, a Department of Health Commissioner's Order to Abate or an emergency violation issued by another City Agency. The work orders were issued to a private vendor following the City's Procurement Rules.

Dataset contains information on rat inspections.

Rat Information Portal Data Release Notes April 20, 2015

The Rat Information Portal (RIP) is a web-based mapping application where users can view rat inspection data.

Data sources: NYC Department of Health and Mental Hygiene (DOHMH), Division of Environmental Health Pest Control Database

Notes on data limitations: Please note that if a property/taxlot does not appear in the file, that does not indicate an absence of rats - rather just that it has not been inspected. Similarly, neighborhoods with higher numbers properties with active rat signs may not actually have higher rat populations but simply have more inspections.

See our Data Disclaimer: http://www.nyc.gov/rats

All 311 Service Requests from 2010 to mid-February 2012.

This dataset lists pending, scheduled and executed evictions within the five boroughs, for the year 2017 - Present. The data fields may be sorted by Court Index Number, Docket Number, Eviction Address, Apartment Number, Executed Date, Marshal First Name, Marshal Last Name, Residential or Commercial (property type), Borough, Zip Code and Scheduled Status (Pending/Scheduled).

Eviction data is compiled from the majority of New York City Marshals. Marshals are independent public officials and should be contacted directly for more information at https://www1.nyc.gov/site/doi/offices/marshals-list.page Data prior to January 1 2017 is not currently available.